Machine learning books and papers

🌟 🌟 OuteTTS-0.2-500M

# Install from PyPI
pip install outetts

# Interface Usage
import outetts

# Configure the model
model_config = outetts.HFModelConfig_v1(
model_path="OuteAI/OuteTTS-0.2-500M",
language="en", # Supported languages in v0.2: en, zh, ja, ko
)

# Initialize the interface
interface = outetts.InterfaceHF(model_version="0.2", cfg=model_config)

# Optional: Create a speaker profile (use a 10-15 second audio clip)
speaker = interface.create_speaker(
audio_path="path/to/audio/file",
transcript="Transcription of the audio file."
)

# Optional: Load speaker from default presets
interface.print_default_speakers()
speaker = interface.load_default_speaker(name="male_1")

output = interface.generate(
text="%Prompt Text%%.",
temperature=0.1,
repetition_penalty=1.1,
max_length=4096,

# Optional: Use a speaker profile
speaker=speaker,
)

# Save the synthesized speech to a file
output.save("output.wav")

🟡Demo

🖥GitHub

@Machine_learn

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2.5K viewsJan 4 at 17:19

🌟 🌟 OuteTTS-0.2-500M

# Install from PyPI
pip install outetts

# Interface Usage
import outetts

# Configure the model
model_config = outetts.HFModelConfig_v1(
model_path="OuteAI/OuteTTS-0.2-500M",
language="en", # Supported languages in v0.2: en, zh, ja, ko
)

# Initialize the interface
interface = outetts.InterfaceHF(model_version="0.2", cfg=model_config)

# Optional: Create a speaker profile (use a 10-15 second audio clip)
speaker = interface.create_speaker(
audio_path="path/to/audio/file",
transcript="Transcription of the audio file."
)

# Optional: Load speaker from default presets
interface.print_default_speakers()
speaker = interface.load_default_speaker(name="male_1")

output = interface.generate(
text="%Prompt Text%%.",
temperature=0.1,
repetition_penalty=1.1,
max_length=4096,

# Optional: Use a speaker profile
speaker=speaker,
)

# Save the synthesized speech to a file
output.save("output.wav")

🟡Demo

🖥GitHub

@Machine_learn